电子科技2016，Vol.29Issue(1)：25-28,4.DOI:10.16180/j.cnki.issn1007-7820.2016.01.007
梯度策略自适应差分进化算法
Adaptive Differential Evolution Algorithm Based on Gradient Search Strategy
摘要
Abstract
The differential evolutionary algorithm is effective in solving global optimization .An improved adap-tive differential evolution algorithm based on gradient search strategy is proposed to improve the accuracy of the solved solutions .The improved gradient search strategy is introduced into differential evolutionary algorithm to solve large scale optimization problems .The proposed algorithm is capable of both global and local search .The simulation re-sults show that the proposed algorithm has better results compared to SaDE , NSDE and CMAES for benchmark func-tions 1~14 in CEC 2005 .关键词
差分进化算法/全局优化/梯度下降法Key words
differential evolution algorithm/global optimization/gradient descent分类
信息技术与安全科学引用本文复制引用
杨俊,魏静萱..梯度策略自适应差分进化算法[J].电子科技,2016,29(1):25-28,4.基金项目
国家自然科学基金资助项目(61203372) （61203372）
